Viv Fast vs Nemotron 3.5 Super 120B A12B vs MiMo-V2.6-Flash
MiMo-V2.6-Flash comes out ahead, 80 to 73 and 59 on our weighted score, and it is the cheaper option too.
VivgridViv Fast
73/100- ECI—
- Price$0.13 / $0.40
- Context1M
NVIDIANemotron 3.5 Super 120B A12B
59/100- ECI—
- Price$0.20 / $0.50
- Context1.05M
- Our pick
XiaomiMiMo-V2.6-Flash
80/100- ECI—
- Price$0.14 / $0.28
- Context1.05M
MiMo-V2.6-Flash is our pick
MiMo-V2.6-Flash is the better all-round choice, scoring 80/100 against Viv Fast (73) and Nemotron 3.5 Super 120B A12B (59). It leads on price and inputs & features. The score weighs price 50%, inputs & features 30%, context window 20%. None of the shared benchmarks cover every model here yet, so capability is left out of this verdict.
- CapabilityNot enough dataNo independent benchmark covers every model here yet
- Lowest priceMiMo-V2.6-FlashMiMo-V2.6-Flash $0.175 · Viv Fast $0.198 · Nemotron 3.5 Super 120B A12B $0.275 per 1M tokens (3:1 blend)
- Longest contextNemotron 3.5 Super 120B A12B and MiMo-V2.6-FlashNemotron 3.5 Super 120B A12B 1,048,576 · MiMo-V2.6-Flash 1,048,576 · Viv Fast 1,000,000 tokens
- Widest inputsMiMo-V2.6-FlashViv Fast: Text, Images · Nemotron 3.5 Super 120B A12B: Text · MiMo-V2.6-Flash: Text, Images, Audio, Video
- Self-hostingNemotron 3.5 Super 120B A12B and MiMo-V2.6-FlashPublishes downloadable weights
| Measure | Weight | Viv Fast | Nemotron 3.5 Super 120B A12B | MiMo-V2.6-Flash |
|---|---|---|---|---|
| Price | 50% | 80 | 73 | 82 |
| Inputs & features | 30% | 70 | 35 | 90 |
| Context window | 20% | 60 | 61 | 61 |
| Overall | 100% | 73/100 | 59/100 | 80/100 |
Left out because at least one model lacks the data: capability. The remaining weights were rescaled.
Every spec in one table
Highlighted cells lead their row. Dashes mean the data is not published.
| Specification | Viv FastVivgrid | Nemotron 3.5 Super 120B A12BNVIDIA | MiMo-V2.6-FlashXiaomi |
|---|---|---|---|
| Capability | |||
| Capabilities Index (ECI) | — | — | — |
| ECI rank | — | — | — |
| Price per million tokens | |||
| Input | $0.13 (best) | $0.20 | $0.14 |
| Output | $0.40 | $0.50 | $0.28 (best) |
| Cached input | $0.05 | — | $0.0028 (best) |
| Blended (3:1) | $0.198 | $0.275 | $0.175 (best) |
| Long-context rate | Same rate | Same rate | Same rate |
| Price source | Official Vivgrid API | Median of 1 providers | Official Xiaomi API |
| Limits | |||
| Context window | 1,000,000 tokens | 1,048,576 tokens (best) | 1,048,576 tokens (best) |
| Max output | 256,000 tokens (best) | 131,072 tokens | 131,072 tokens |
| Inputs and features | |||
| Text | Yes | Yes | Yes |
| Images | Yes | No | Yes |
| PDFs | No | No | No |
| Audio | No | No | Yes |
| Video | No | No | Yes |
| Reasoning | Yeslow · high · max | Yes | Yes |
| Tool calling | Yes | Yes | Yes |
| Structured output | Yes | No | Yes |
| Availability | |||
| Weights | Proprietary | Open | Open |
| API model ID | viv-fast | — | mimo-v2.6-flash |
| API providers | 1 | 1 | 23 (best) |
| Released | Sep 21, 2026 | Oct 15, 2026 | Sep 22, 2026 |
| Knowledge cutoff | Sep 2026 | — | — |
What would a month cost?
Enter your expected volume in millions of tokens. List prices only; caching and batch discounts would lower these.
- Viv Fast$2.10
- Nemotron 3.5 Super 120B A12B$3.00
- MiMo-V2.6-Flash$1.96
Which should you choose?
Which is better: Viv Fast, Nemotron 3.5 Super 120B A12B or MiMo-V2.6-Flash?
MiMo-V2.6-Flash is the better all-round choice, scoring 80/100 against Viv Fast (73) and Nemotron 3.5 Super 120B A12B (59). It leads on price and inputs & features. The score weighs price 50%, inputs & features 30%, context window 20%. None of the shared benchmarks cover every model here yet, so capability is left out of this verdict.
Which is cheaper, Viv Fast, Nemotron 3.5 Super 120B A12B or MiMo-V2.6-Flash?
MiMo-V2.6-Flash is cheaper at $0.14 input / $0.28 output per million tokens (official Xiaomi API price). Viv Fast costs $0.13 input / $0.40 output per million tokens (official Vivgrid API price); Nemotron 3.5 Super 120B A12B costs $0.20 input / $0.50 output per million tokens (median across 1 API provider). At a typical mix of three input tokens to one output token, that is $0.175 per million tokens for MiMo-V2.6-Flash versus $0.198 for Viv Fast (1.1× as much) and $0.275 for Nemotron 3.5 Super 120B A12B (1.6× as much).
Which scores higher on benchmarks?
There is no independent benchmark that covers all three models yet. Viv Fast has not been scored yet, Nemotron 3.5 Super 120B A12B has not been scored yet and MiMo-V2.6-Flash has not been scored yet.
Which is better for coding?
There are no published SWE-bench Verified results for Viv Fast, Nemotron 3.5 Super 120B A12B and MiMo-V2.6-Flash yet, so there is no like-for-like coding score. Test both on a sample of your own tasks. All three support tool calling for agent workflows.
Which has the bigger context window?
Nemotron 3.5 Super 120B A12B and MiMo-V2.6-Flash have the largest context windows (1,048,576 and 1,048,576 tokens), against 1,000,000 for Viv Fast. Maximum output per response: Viv Fast up to 256,000, Nemotron 3.5 Super 120B A12B up to 131,072, MiMo-V2.6-Flash up to 131,072 tokens.
Which can read images, PDFs, audio or video?
Viv Fast accepts text and images; Nemotron 3.5 Super 120B A12B accepts text; MiMo-V2.6-Flash accepts text, images, audio and video. MiMo-V2.6-Flash handles the widest range of inputs.
Are any of these open source?
Nemotron 3.5 Super 120B A12B and MiMo-V2.6-Flash publishes its weights and can be self-hosted; Viv Fast is proprietary.
Which is newer?
Nemotron 3.5 Super 120B A12B is the newest, released Oct 15, 2026. MiMo-V2.6-Flash came out Sep 22, 2026; Viv Fast came out Sep 21, 2026. Knowledge cutoff: Viv Fast Sep 2026.
How do you decide the winner?
Each model gets a 0–100 score on capability (50%, independent benchmark results); price (25%, blended price per million tokens (3 input : 1 output), log scale); inputs & features (15%, image, PDF, audio and video input, tool calling, structured output and reasoning); context window (10%, maximum tokens per request, log scale). Dimensions missing for any model are dropped and the remaining weights rescaled, so every model is judged on the same evidence. Specs and prices come from public model listings and the labs’ own API pages; capability scores come from independent benchmark runs. Data updated Nov 2, 2026.
